铂电阻Pt100特性数学模型

Characteristic mathematical model of platinum thermistor Pt100

为了满足自动检测和智能仪表的需要,提出了一种基于余弦基神经网络的传感器特性建模算法,提出了该余弦基神经网络算法的收敛定理,并以铂电阻Pt100为例给出了传感器特性数学模型的建模步骤。计算机仿真结果表明了该算法在传感器特性建模过程中的有效性和优异性能。

To meet the requirement of automic monitoring and intelligent meter,an algorithm about building the mathematical model of sensor characteristic based on neural network with cosine basis foundations is presented,and the convergence theorem of the neural networks algorithm is offered. The step of founding the mathematical model is also introduced by using thermistor Pt100 as a example.The simulation result shows that this neural network algorithm is effective and excellent in building the mathematical model of sensor characteristic.